Sustainable Cost Models for mHealth at Scale: Modeling Program Data from m4RH Tanzania

• Published in: PloS one 2016-01, Vol.11 (1), p.e0148011-e0148011
• Main Authors: Mangone, Emily R, Agarwal, Smisha, L'Engle, Kelly, Lasway, Christine, Zan, Trinity, van Beijma, Hajo, Orkis, Jennifer, Karam, Robert
• Format: Article
• Language: English
• Subjects: Adult; Birth control; Cellular telephones; Communication; Computer and Information Sciences; Computer simulation; Condoms - statistics & numerical data; Contraception Behavior - psychology; Contraceptive Agents - supply & distribution; Cost analysis; Cost-Benefit Analysis; Costs; Data recovery; Developing countries; Economic aspects; Engineering and Technology; Family planning; Family Planning Services - methods; Family Planning Services - organization & administration; Female; Health aspects; Health care; Health care expenditures; Health promotion; Humans; LDCs; Male; Medicine and Health Sciences; Methods; Models, Economic; Monte Carlo Method; Partnerships; People and Places; Public health; Reproduction; Reproductive health; Reproductive systems; Revenue; Scale models; Short message service; SMS (Short messaging service); Social Sciences; Sustainability; Systematic review; Tanzania; Technology application; Telemedicine; Telemedicine - economics; Telemedicine - statistics & numerical data; Text messaging; Text Messaging - economics; Text Messaging - statistics & numerical data; Uncertainty analysis; Wireless telephones
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0148011

There is increasing evidence that mobile phone health interventions ("mHealth") can improve health behaviors and outcomes and are critically important in low-resource, low-access settings. However, the majority of mHealth programs in developing countries fail to reach scale. One reason may be the challenge of developing financially sustainable programs. The goal of this paper is to explore strategies for mHealth program sustainability and develop cost-recovery models for program implementers using 2014 operational program data from Mobile for Reproductive Health (m4RH), a national text-message (SMS) based health communication service in Tanzania. We delineated 2014 m4RH program costs and considered three strategies for cost-recovery for the m4RH program: user pay-for-service, SMS cost reduction, and strategic partnerships. These inputs were used to develop four different cost-recovery scenarios. The four scenarios leveraged strategic partnerships to reduce per-SMS program costs and create per-SMS program revenue and varied the structure for user financial contribution. Finally, we conducted break-even and uncertainty analyses to evaluate the costs and revenues of these models at the 2014 user volume (125,320) and at any possible break-even volume. In three of four scenarios, costs exceeded revenue by $94,596, $34,443, and $84,571 at the 2014 user volume. However, these costs represented large reductions (54%, 83%, and 58%, respectively) from the 2014 program cost of $203,475. Scenario four, in which the lowest per-SMS rate ($0.01 per SMS) was negotiated and users paid for all m4RH SMS sent or received, achieved a $5,660 profit at the 2014 user volume. A Monte Carlo uncertainty analysis demonstrated that break-even points were driven by user volume rather than variations in program costs. These results reveal that breaking even was only probable when all SMS costs were transferred to users and the lowest per-SMS cost was negotiated with telecom partners. While this strategy was sustainable for the implementer, a central concern is that health information may not reach those who are too poor to pay, limiting the program's reach and impact. Incorporating strategies presented here may make mHealth programs more appealing to funders and investors but need further consideration to balance sustainability, scale, and impact.